Senior Lecturer in Transport Studies / Part B Year Tutor: Air Transport Management, Transport and Business Management
| Phone: | +44 (0)1509 228545 |
| Fax: | +44 (0)1509 223981 |
| Email: | m.a.quddus@lboro.ac.uk |
| Homepage: | open |
| Publications: | View – and visit the CBE Repository page |
Dr Quddus obtained a PhD from Imperial College London in 2005 where he was working as a research assistant for five years on a number of research projects. He received an MEng degree in Civil Engineering from the National University of Singapore in 2001 and a BSc degree in Civil Engineering from BUET (Bangladesh University of Engineering and Technology) in 1998. He joined Loughborough University as a lecturer in transport studies in 2006 and promoted to Senior Lecturer in 2010.
Transport
Title(s): REAL-TIME MAP MATCHING ALGORITHMS FOR INTELIGENT TRANSPORT SYSTEMS
Summary: The overall objective of this research is to develop an intelligent map matching (iMM) technique capable of supporting the positioning and navigation modules of most Advanced Transport Telematics (ATT) systems in all operational environments in real-time. Such ATT systems have the potential to support a wide variety of services including navigation and route guidance, distance-based congestion charging, bus priority at junctions, bus arrival information at bus stops, accident and emergency responses, and location based services (LBS). The key challenge here is to develop a knowledge-based iMM technique that can intelligently sense the geographic characteristics of an operational environment and then select the best map matching algorithm (from a set of representative map matching algorithms) suitable for that operational environment. In order to accomplish this, there are a number of further challenges to be confronted including a detailed characterisation of the performance of existing algorithms, the development of a new map matching algorithm with the capability to satisfy relatively stringent requirements particularly in built-up urban environments, the specification and execution of a validation strategy (particularly for complex built-up areas) and integrity monitoring (i.e., the development of a metric to quantify the level of confidence in map-matched solutions). In this project, collaboration with industry is essential to demonstrate real-time application of the algorithms in different operational environments of varying complexity by creating a prototype navigation system supported by the core map matching algorithms and the iMM technique developed in this project. Helios Technology Ltd., a leading SME (Small and Medium-sized Enterprise) in positioning and navigation solutions, is providing support in the development of potential applications, system design, prototyping and testing. Helios Technology Ltd. will also support the identification of potential avenues for the commercial exploitation of the outcome of the research.
Methods: Extended Kalman Filter, Fuzzy Logic, Genetic Algorithm, Statistical Models
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